{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bf43bb96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n年份 \\n月份\\t第一年\\t第二年\\t第三年\\t第四年\\t第五年\\t合计\\t同 月\\n平均数\\n1\\t50\\t60\\t80\\t100\\t120\\t410\\t82\\n2\\t80\\t95\\t112\\t132\\t159\\t578\\t115.6\\n3\\t100\\t118\\t136\\t158\\t183\\t695\\t139\\n4\\t110\\t128\\t149\\t169\\t191\\t748\\t149.6\\n5\\t80\\t94\\t113\\t133\\t151\\t571\\t114.2\\n6\\t40\\t53\\t67\\t89\\t137\\t386\\t77.2\\n7\\t15\\t17\\t24\\t34\\t50\\t140\\t28\\n8\\t20\\t25\\t37\\t39\\t80\\t201\\t40.2\\n9\\t30\\t36\\t46\\t51\\t93\\t256\\t51.2\\n10\\t90\\t99\\t125\\t147\\t182\\t643\\t128.6\\n11\\t80\\t95\\t111\\t133\\t166\\t585\\t117\\n12\\t40\\t51\\t66\\t90\\t129\\t376\\t75.2\\n'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "年份 \n",
    "月份\t第一年\t第二年\t第三年\t第四年\t第五年\t合计\t同 月\n",
    "平均数\t季节指数(%)\n",
    "1\t50\t60\t80\t100\t120\t410\t82\t88.03\n",
    "2\t80\t95\t112\t132\t159\t578\t115.6\t124.10\n",
    "3\t100\t118\t136\t158\t183\t695\t139\t149.22\n",
    "4\t110\t128\t149\t169\t191\t748\t149.6\t160.60\n",
    "5\t80\t94\t113\t133\t151\t571\t114.2\t122.59\n",
    "6\t40\t53\t67\t89\t137\t386\t77.2\t82.88\n",
    "7\t15\t17\t24\t34\t50\t140\t28\t30.06\n",
    "8\t20\t25\t37\t39\t80\t201\t40.2\t43.16\n",
    "9\t30\t36\t46\t51\t93\t256\t51.2\t54.97\n",
    "10\t90\t99\t125\t147\t182\t643\t128.6\t138.06\n",
    "11\t80\t95\t111\t133\t166\t585\t117\t125.60\n",
    "12\t40\t51\t66\t90\t129\t376\t75.2\t80.73\n",
    "合   计\t735\t872\t1066\t1275\t1641\t5589\t1117.8\t1200.00\n",
    "平   均\t61.25\t72.67\t88.83\t106.25\t136.75\t—\t93.15\t—\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "582a8712",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "17fcfe05",
   "metadata": {},
   "outputs": [],
   "source": [
    "year_1 = pd.Series([50, 80, 100, 110, 80, 40, 15, 20, 30, 90, 80, 40])\n",
    "year_2 = pd.Series([60, 95, 118, 128, 94, 53, 17, 25, 36, 99, 95, 51])\n",
    "year_3 = pd.Series([80, 112, 136, 149, 113, 67, 24, 37, 46, 125, 111, 66])\n",
    "year_4 = pd.Series([100, 132, 158, 169, 133, 89, 34, 39, 51, 147, 133, 90])\n",
    "year_5 = pd.Series([120, 159, 183, 191, 151, 137, 50, 80, 93, 182, 166, 129])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6ffc24a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "735 871 1066 1275 1641\n"
     ]
    }
   ],
   "source": [
    "print (year_1.sum(), year_2.sum(), year_3.sum(), year_4.sum(), year_5.sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d9f17733",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "61.25 72.58333333333333 88.83333333333333 106.25 136.75\n"
     ]
    }
   ],
   "source": [
    "print (year_1.mean(), year_2.mean(), year_3.mean(), year_4.mean(), year_5.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2b40222d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a2b6b4aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pyplot.plot(year_1, label = 'year#1')\n",
    "pyplot.plot(year_2, label = 'year#2')\n",
    "pyplot.plot(year_3, label = 'year#3')\n",
    "pyplot.plot(year_4, label = 'year#4')\n",
    "pyplot.plot(year_5, label = 'year#5')\n",
    "\n",
    "pyplot.legend()\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "16d51bd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {\n",
    "    'year#1': year_1,\n",
    "    'year#2': year_2,\n",
    "    'year#3': year_3,\n",
    "    'year#4': year_4,\n",
    "    'year#5': year_5\n",
    "\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "046720be",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "915951b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>year#1</th>\n",
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       "      <td>66</td>\n",
       "      <td>90</td>\n",
       "      <td>129</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "    year#1  year#2  year#3  year#4  year#5\n",
       "0       50      60      80     100     120\n",
       "1       80      95     112     132     159\n",
       "2      100     118     136     158     183\n",
       "3      110     128     149     169     191\n",
       "4       80      94     113     133     151\n",
       "5       40      53      67      89     137\n",
       "6       15      17      24      34      50\n",
       "7       20      25      37      39      80\n",
       "8       30      36      46      51      93\n",
       "9       90      99     125     147     182\n",
       "10      80      95     111     133     166\n",
       "11      40      51      66      90     129"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "836577ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year#1     61.250000\n",
       "year#2     72.583333\n",
       "year#3     88.833333\n",
       "year#4    106.250000\n",
       "year#5    136.750000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "df.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9d48828b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year#1     735\n",
       "year#2     871\n",
       "year#3    1066\n",
       "year#4    1275\n",
       "year#5    1641\n",
       "dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "17171890",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      82.0\n",
       "1     115.6\n",
       "2     139.0\n",
       "3     149.4\n",
       "4     114.2\n",
       "5      77.2\n",
       "6      28.0\n",
       "7      40.2\n",
       "8      51.2\n",
       "9     128.6\n",
       "10    117.0\n",
       "11     75.2\n",
       "dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "df.mean(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b0a1f087",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     410\n",
       "1     578\n",
       "2     695\n",
       "3     747\n",
       "4     571\n",
       "5     386\n",
       "6     140\n",
       "7     201\n",
       "8     256\n",
       "9     643\n",
       "10    585\n",
       "11    376\n",
       "dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "df.sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "fbcf146e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['mean'] = df.mean(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "ec2f8fa1",
   "metadata": {},
   "outputs": [
    {
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       "      <td>128.6</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>80</td>\n",
       "      <td>95</td>\n",
       "      <td>111</td>\n",
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       "      <td>117.0</td>\n",
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       "      <td>40</td>\n",
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       "      <td>66</td>\n",
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       "      <td>75.2</td>\n",
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       "    year#1  year#2  year#3  year#4  year#5   mean\n",
       "0       50      60      80     100     120   82.0\n",
       "1       80      95     112     132     159  115.6\n",
       "2      100     118     136     158     183  139.0\n",
       "3      110     128     149     169     191  149.4\n",
       "4       80      94     113     133     151  114.2\n",
       "5       40      53      67      89     137   77.2\n",
       "6       15      17      24      34      50   28.0\n",
       "7       20      25      37      39      80   40.2\n",
       "8       30      36      46      51      93   51.2\n",
       "9       90      99     125     147     182  128.6\n",
       "10      80      95     111     133     166  117.0\n",
       "11      40      51      66      90     129   75.2"
      ]
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     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df"
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